VirnetX Holding (VHC) Total Non-Current Liabilities (2009 - 2026)
VirnetX Holding (VHC) recorded Total Non-Current Liabilities of $2.26 million in Q2 2026, up 16.4% from $1.94 million a year earlier and up 9.7% from the prior quarter.
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Analysis
VirnetX Holding (VHC) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, VirnetX Holding reported Total Non-Current Liabilities of $2.03 million, down 71.9% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -27.8% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $7.2 million in FY2024 (+473.8%), $1.25 million in FY2023 (+71.5%), $731,000 in FY2022 (-28.4%) and $1.02 million in FY2021 (-90.1%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities since Q4 2024.
- On a year-over-year basis, Total Non-Current Liabilities rose in four of the last eight quarters, with growth averaging 69.3%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 761.9% in Q2 2024, against a decline of 90.4% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.06 million (Q1 2026), $2.03 million (Q4 2025) and $2.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn | 6.45 Bn |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn | 9.56 Bn |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn | 3.10 Bn |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn | 5.20 Bn |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn | 12.63 Bn |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn | 770.18 Mn |
| 10 | VirnetX Holding | 39.01 Mn | -41.82 Mn | - | 2.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.26 Mn |
| Mar 31, 2026 | 2.06 Mn |
| Dec 31, 2025 | 2.03 Mn |
| Sep 30, 2025 | 2.07 Mn |
| Jun 30, 2025 | 1.94 Mn |
| Mar 31, 2025 | 1.95 Mn |
| Dec 31, 2024 | 7.20 Mn |
| Sep 30, 2024 | 7.14 Mn |
| Jun 30, 2024 | 7.01 Mn |
| Mar 31, 2024 | 7.03 Mn |
| Dec 31, 2023 | 1.25 Mn |
| Sep 30, 2023 | 1.60 Mn |
| Jun 30, 2023 | 813,000.00 |
| Mar 31, 2023 | 73.52 Mn |
| Dec 31, 2022 | 731,000.00 |
| Sep 30, 2022 | 1.90 Mn |
| Jun 30, 2022 | 738,000.00 |
| Mar 31, 2022 | 1.04 Mn |
| Dec 31, 2021 | 1.02 Mn |
| Sep 30, 2021 | 3.90 Mn |
API Access
VirnetX Holding Total Non-Current Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=VHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "VHC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=VHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();